Samenvatting
Designing auction parameters for online industrial auctions is a complex problem due to highly heterogeneous items. Currently, online auctioneers
rely heavily on their experts in auction design. In this paper, we propose a data driven auction design framework that seamlessly combines prediction models and knowledge from experts into an optimization model. We show the proposed data driven approach improves upon the design from the experts for starting prices and display positions of items.
rely heavily on their experts in auction design. In this paper, we propose a data driven auction design framework that seamlessly combines prediction models and knowledge from experts into an optimization model. We show the proposed data driven approach improves upon the design from the experts for starting prices and display positions of items.
| Originele taal-2 | Engels |
|---|---|
| Aantal pagina's | 7 |
| Status | Gepubliceerd - 2019 |
| Evenement | Data Science Meets Optimisation - Macao, China Duur: 11 aug. 2019 → … https://sites.google.com/view/ijcai2019dso/ |
Workshop
| Workshop | Data Science Meets Optimisation |
|---|---|
| Verkorte titel | DSO |
| Land/Regio | China |
| Stad | Macao |
| Periode | 11/08/19 → … |
| Internet adres |